Multi-oriented moving text detection

Vijeta Khare, Palaiahnakote Shivakumara, Paramesaran Raveendran

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

5 Citations (Scopus)


Detection of moving text of different orientations in video is challenging because of low resolution and complex background of video. In this paper, we propose a method based on motion vectors to identify the moving blocks which have linear and constant velocity. For each block, we compute moments and use k-means clustering algorithm to extract text candidate. We introduce a new criterion based on gradient direction of pixels in text candidates to remove false text candidates which we outputs potential text candidates. Then the method performs region growing to group the potential text candidates which outputs text lines. The method is tested on both static and moving text video to evaluate the performance in terms of recall, precision, F-measure, misdetection rate and time. The results are compared with the well-known existing methods to show effectiveness of the proposed method.

Original languageEnglish
Title of host publication2014 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2014
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)9781479961207
Publication statusPublished - 27 Jan 2014
Externally publishedYes
EventIEEE International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS) 2014 - Kuching, Sarawak, Malaysia
Duration: 1 Dec 20144 Dec 2014 (Proceedings)


ConferenceIEEE International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS) 2014
Abbreviated titleISPACS 2014
CityKuching, Sarawak
Internet address


  • Central geometric moments
  • Motion vector estimation
  • Multi-oriented text detection
  • Region growing

Cite this